The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-13"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "13104391 (up from 12910357 yesterday: 1.5 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "573003 (up from 569128 yesterday: 0.68 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4005750

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.37



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3364157 59215 1.79 1051857 135566 361 0.27 4.03
Brazil 1884967 20286 1.09 778497 72833 733 1.02 3.86
India 906752 28498 3.24 466537 23727 553 2.39 2.62
Russia 732547 6511 0.90 141082 11422 104 0.92 1.56
Peru 330123 3797 1.16 72676 12054 184 1.55 3.65
Chile 317657 2616 0.83 70694 7024 45 0.64 2.21
Mexico 304435 4685 1.56 119313 35491 485 1.39 11.66
United Kingdom 291691 537 0.18 -15070 44915 11 0.02 15.40
South Africa 287796 11554 4.18 186206 4172 93 2.28 1.45
Iran 259652 2349 0.91 52127 13032 203 1.58 5.02
Spain 255953 2045 0.81 9449 28406 3 0.01 11.10
Pakistan 253604 1979 0.79 68570 5320 54 1.03 2.10
Italy 243230 169 0.07 4510 34967 13 0.04 14.38
Saudi Arabia 235111 2852 1.23 74106 2243 20 0.90 0.95
Turkey 214001 1008 0.47 25104 5382 19 0.35 2.51
France 209640 1625 0.78 12259 30032 25 0.08 14.33
Germany 200180 261 0.13 8412 9074 3 0.03 4.53
Bangladesh 186894 3099 1.69 71108 2391 39 1.66 1.28
Colombia 150445 5083 3.50 79078 5634 208 3.83 3.74
Canada 109984 636 0.58 6566 8836 7 0.08 8.03
Qatar 104016 418 0.40 15613 149 2 1.36 0.14
Argentina 103265 3099 3.09 58334 1903 58 3.14 1.84
China 85117 0 0.00 493 4641 0 0.00 5.45
Egypt 83001 931 1.13 26192 3935 77 2.00 4.74
Iraq 79735 2229 2.88 47059 3250 100 3.17 4.08
Indonesia 76981 1282 1.69 30136 3656 50 1.39 4.75
Sweden 75826 928 1.24 16894 5536 10 0.18 7.30
Ecuador 68459 589 0.87 17819 5063 16 0.32 7.40
Belarus 65114 182 0.28 6091 468 4 0.86 0.72
Belgium 62707 0 0.00 2157 9782 0 0.00 15.60
Kazakhstan 61755 3502 6.01 43524 375 0 0.00 0.61
Oman 58179 2164 3.86 27103 259 2 0.78 0.45
Philippines 57006 747 1.33 26324 1599 65 4.24 2.80
Kuwait 55508 614 1.12 15217 393 3 0.77 0.71
Ukraine 55285 638 1.17 17229 1415 15 1.07 2.56
United Arab Emirates 55198 344 0.63 9895 334 1 0.30 0.61
Netherlands 51308 71 0.14 1442 6156 0 0.00 12.00
Bolivia 49250 1063 2.21 23757 1866 59 3.27 3.79
Panama 47173 1540 3.37 20421 932 23 2.53 1.98
Portugal 46818 306 0.66 7426 1662 2 0.12 3.55
Singapore 46283 322 0.70 3970 26 0 0.00 0.06
Dominican Republic 45506 974 2.19 18136 903 6 0.67 1.98
Israel 40632 1962 5.07 19550 365 3 0.83 0.90
Poland 38190 299 0.79 5963 1576 5 0.32 4.13
Afghanistan 34455 4 0.01 5298 1012 2 0.20 2.94
Bahrain 33476 535 1.62 11069 109 1 0.93 0.33
Nigeria 33153 595 1.83 12234 744 4 0.54 2.24
Romania 32948 413 1.27 8657 1901 17 0.90 5.77
Switzerland 32946 63 0.19 1636 1968 0 0.00 5.97
Armenia 32151 182 0.57 11563 573 8 1.42 1.78
Guatemala 29742 387 1.32 15973 1244 25 2.05 4.18
Honduras 28579 489 1.74 15223 789 15 1.94 2.76
Ireland 25638 10 0.04 255 1746 0 0.00 6.81
Ghana 24988 470 1.92 10834 139 0 0.00 0.56
Azerbaijan 24570 529 2.20 11363 313 7 2.29 1.27
Japan 22125 284 1.30 4305 984 1 0.10 4.45
Algeria 19689 494 2.57 7769 1018 7 0.69 5.17
Moldova 19439 57 0.29 5076 649 7 1.09 3.34
Austria 18948 51 0.27 1568 708 0 0.00 3.74
Serbia 18639 279 1.52 5649 405 12 3.05 2.17
Nepal 16945 144 0.86 7384 38 0 0.00 0.22
Morocco 15936 191 1.21 5764 255 5 2.00 1.60
Cameroon 15173 0 0.00 3132 359 0 0.00 2.37
Uzbekistan 13591 594 4.57 7130 64 4 6.67 0.47
Korea, South 13512 33 0.24 1028 289 0 0.00 2.14
Czechia 13238 64 0.49 2715 353 1 0.28 2.67
Denmark 13238 91 0.69 511 610 1 0.16 4.61
Cote d’Ivoire 12872 106 0.83 5195 84 0 0.00 0.65
Kyrgyzstan 11444 327 2.94 8088 149 2 1.36 1.30
Sudan 10316 66 0.64 1618 657 7 1.08 6.37
Kenya 10294 189 1.87 5497 197 12 6.49 1.91
Australia 10251 271 2.72 2759 108 0 0.00 1.05

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 402263 557 0.14 13775 32395 45 0.14 8.05 20678.12 1665.25 1 in 48
California 333357 8814 2.72 148592 7089 38 0.54 2.13 8436.81 179.41 1 in 119
Florida 282435 12624 4.68 182218 4277 35 0.83 1.51 13150.13 199.14 1 in 76
Texas 269778 7016 2.67 151988 3276 60 1.87 1.21 9304.01 112.98 1 in 107
New Jersey 175522 224 0.13 6107 15560 35 0.23 8.86 19761.12 1751.82 1 in 51
Illinois 155931 883 0.57 18707 7394 6 0.08 4.74 12305.33 583.50 1 in 81
Arizona 123824 1357 1.11 69225 2246 9 0.40 1.81 16260.77 294.95 1 in 61
Georgia 120572 3637 3.11 54644 3026 23 0.77 2.51 11356.05 285.00 1 in 88
Massachusetts 111827 230 0.21 4617 8330 5 0.06 7.45 16091.37 1198.65 1 in 62
Pennsylvania 100330 536 0.54 13754 6911 7 0.10 6.89 7837.06 539.84 1 in 128
North Carolina 87669 1898 2.21 33705 1529 7 0.46 1.74 8358.91 145.78 1 in 120
Louisiana 79827 1705 2.18 29588 3423 7 0.20 4.29 17171.55 736.32 1 in 58
Michigan 77198 422 0.55 9241 6321 7 0.11 8.19 7729.96 632.93 1 in 129
Maryland 73527 418 0.57 8924 3325 6 0.18 4.52 12161.91 549.98 1 in 82
Virginia 71642 972 1.38 13177 1968 2 0.10 2.75 8393.40 230.57 1 in 119
Ohio 66853 1261 1.92 21316 3064 6 0.20 4.58 5719.26 262.12 1 in 175
Tennessee 65274 3314 5.35 29721 749 8 1.08 1.15 9552.52 109.61 1 in 105
South Carolina 58168 1520 2.68 32502 972 11 1.14 1.67 11297.58 188.79 1 in 89
Alabama 55545 1958 3.65 25091 1124 3 0.27 2.02 11328.35 229.24 1 in 88
Indiana 52037 425 0.82 9404 2762 2 0.07 5.31 7729.55 410.27 1 in 129
Connecticut 47510 223 0.47 1728 4371 23 0.53 9.20 13325.72 1225.99 1 in 75
Minnesota 42772 491 1.16 9545 1542 2 0.13 3.61 7584.18 273.42 1 in 132
Washington 41757 1101 2.71 12887 1399 -39 -2.71 3.35 5483.60 183.72 1 in 182
Colorado 37218 323 0.88 6529 1727 2 0.12 4.64 6462.88 299.89 1 in 155
Wisconsin 36942 494 1.36 11874 820 0 0.00 2.22 6344.77 140.83 1 in 158
Mississippi 36680 393 1.08 14351 1250 1 0.08 3.41 12324.65 420.01 1 in 81
Iowa 35631 221 0.62 9485 755 3 0.40 2.12 11293.25 239.30 1 in 89
Utah 30030 546 1.85 12124 216 1 0.47 0.72 9366.93 67.37 1 in 107
Arkansas 28939 572 2.02 12856 323 2 0.62 1.12 9589.36 107.03 1 in 104
Nevada 28515 832 3.01 14987 593 0 0.00 2.08 9257.65 192.52 1 in 108
Missouri 28289 409 1.47 9697 1105 13 1.19 3.91 4609.26 180.04 1 in 217
Nebraska 21399 227 1.07 3436 288 3 1.05 1.35 11062.30 148.88 1 in 90
Oklahoma 20746 511 2.53 10012 424 2 0.47 2.04 5242.90 107.15 1 in 191
Kentucky 19653 264 1.36 5814 629 4 0.64 3.20 4398.93 140.79 1 in 227
Kansas 19645 664 3.50 7217 298 1 0.34 1.52 6743.18 102.29 1 in 148
Rhode Island 17487 175 1.01 1028 984 8 0.82 5.63 16507.12 928.86 1 in 61
New Mexico 15291 263 1.75 4597 548 3 0.55 3.58 7292.44 261.35 1 in 137
Delaware 12879 75 0.59 2059 517 0 0.00 4.01 13226.00 530.93 1 in 76
Oregon 12438 268 2.20 5355 237 3 1.28 1.91 2948.97 56.19 1 in 339
Idaho 11404 501 4.60 7150 102 0 0.00 0.89 6363.61 56.92 1 in 157
District of Columbia 10906 59 0.54 848 568 0 0.00 5.21 15453.09 804.82 1 in 65
Puerto Rico 10010 356 3.69 3446 167 0 0.00 1.67 3134.30 52.29 1 in 319
South Dakota 7524 25 0.33 1198 109 0 0.00 1.45 8504.97 123.21 1 in 118
New Hampshire 6068 14 0.23 510 391 0 0.00 6.44 4462.71 287.56 1 in 224
North Dakota 4442 108 2.49 1129 87 0 0.00 1.96 5828.92 114.16 1 in 172
West Virginia 4313 69 1.63 1761 97 1 1.04 2.25 2413.34 54.28 1 in 414
Maine 3558 19 0.54 587 114 0 0.00 3.20 2646.90 84.81 1 in 378
Wyoming 1903 41 2.20 673 21 0 0.00 1.10 3288.07 36.28 1 in 304
Montana 1843 85 4.84 1109 32 3 10.34 1.74 1724.40 29.94 1 in 580
Alaska 1539 60 4.06 781 17 0 0.00 1.10 2103.77 23.24 1 in 475
Vermont 1301 5 0.39 138 56 0 0.00 4.30 2084.97 89.75 1 in 480
Hawaii 1243 23 1.89 427 22 3 15.79 1.77 877.90 15.54 1 in 1139

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4724882 402263 8.51 1272783 13775 1.08 242880.06
2 California 5544365 333357 6.01 2132679 148592 6.97 140320.25
3 Florida 2639574 282435 10.70 1022087 182218 17.83 122898.14
4 Texas 2540125 269778 10.62 991116 151988 15.34 87602.96
5 New Jersey 1700385 175522 10.32 432986 6107 1.41 191437.58
6 Illinois 2014126 155931 7.74 634123 18707 2.95 158945.27
7 Arizona 702426 123824 17.63 272636 69225 25.39 92243.71
8 Georgia 1107967 120572 10.88 399941 54644 13.66 104353.66
9 Massachusetts 966143 111827 11.57 186080 4617 2.48 139023.32
10 Pennsylvania 931474 100330 10.77 263626 13754 5.22 72760.10
11 North Carolina 1220486 87669 7.18 463141 33705 7.28 116368.82
12 Louisiana 953426 79827 8.37 335362 29588 8.82 205091.04
13 Michigan 1313427 77198 5.88 395410 9241 2.34 131515.55
14 Maryland 651957 73527 11.28 177232 8924 5.04 107838.49
15 Virginia 814015 71642 8.80 255892 13177 5.15 95367.96
16 Ohio 1024751 66853 6.52 365150 21316 5.84 87667.23
17 Tennessee 1053961 65274 6.19 353856 29721 8.40 154241.79
18 South Carolina 507101 58168 11.47 203221 32502 15.99 98490.81
19 Alabama 519604 55545 10.69 170494 25091 14.72 105972.75
20 Indiana 570409 52037 9.12 151493 9404 6.21 84728.23
21 Connecticut 589318 47510 8.06 191766 1728 0.90 165293.28
22 Minnesota 768989 42772 5.56 255852 9545 3.73 136354.46
23 Washington 686005 41757 6.09 211067 12887 6.11 90087.28
24 Colorado 399365 37218 9.32 116593 6529 5.60 69349.42
25 Wisconsin 699861 36942 5.28 208159 11874 5.70 120200.76
26 Mississippi 343415 36680 10.68 90166 14351 15.92 115389.05
27 Iowa 376716 35631 9.46 118084 9485 8.03 119400.20
28 Utah 418335 30030 7.18 119023 12124 10.19 130486.74
29 Arkansas 382974 28939 7.56 126635 12856 10.15 126903.98
30 Nevada 353193 28515 8.07 109128 14987 13.73 114667.24
31 Missouri 495777 28289 5.71 178403 9697 5.44 80779.28
32 Nebraska 211659 21399 10.11 55151 3436 6.23 109417.97
33 Oklahoma 420782 20746 4.93 138124 10012 7.25 106339.42
34 Kentucky 441885 19653 4.45 119853 5814 4.85 98907.19
35 Kansas 231175 19645 8.50 76162 7217 9.48 79351.21
36 Rhode Island 173243 17487 10.09 -45425 1028 -2.26 163535.38
37 New Mexico 418357 15291 3.66 124926 4597 3.68 199518.89
38 Delaware 139363 12879 9.24 42640 2059 4.83 143117.84
39 Oregon 300712 12438 4.14 94084 5355 5.69 71297.00
40 Idaho 127132 11404 8.97 54164 7148 13.20 70941.62
41 District of Columbia 130220 10906 8.38 48216 848 1.76 184513.19
43 South Dakota 91378 7524 8.23 18049 1198 6.64 103291.78
44 New Hampshire 134866 6068 4.50 26004 510 1.96 99187.25
45 North Dakota 123878 4442 3.59 26425 1129 4.27 162556.33
46 West Virginia 208225 4313 2.07 57021 1761 3.09 116512.52
47 Maine 123962 3558 2.87 42958 587 1.37 92219.08
48 Wyoming 39939 1903 4.76 12547 673 5.36 69008.00
49 Montana 118695 1843 1.55 47390 1109 2.34 111056.74
50 Alaska 146590 1539 1.05 55766 781 1.40 200384.12
51 Vermont 76581 1301 1.70 17974 138 0.77 122728.13
52 Hawaii 95170 1243 1.31 26459 427 1.61 67216.53

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 267665 6741 2.58 149007 55.67 107665 10695 213 2.03 4.00
Tamil Nadu 147324 4526 3.17 97310 66.05 47915 2099 67 3.30 1.42
Delhi 115346 1606 1.41 93236 80.83 18664 3446 35 1.03 2.99
Karnataka 44077 2496 6.00 17391 39.46 25836 846 87 11.46 1.92
Gujarat 43723 915 2.14 30555 69.88 11098 2070 14 0.68 4.73
Uttar Pradesh 39724 1594 4.18 24981 62.89 13760 983 28 2.93 2.47
Telangana 37745 1524 4.21 24840 65.81 12530 375 10 2.74 0.99
Andhra Pradesh 33019 1916 6.16 17467 52.90 15144 408 43 11.78 1.24
West Bengal 32838 1390 4.42 19931 60.69 11927 980 24 2.51 2.98
Rajasthan 25571 635 2.55 19169 74.96 5878 524 6 1.16 2.05
Haryana 22628 699 3.19 17090 75.53 5226 312 4 1.30 1.38
Madhya Pradesh 19005 798 4.38 13575 71.43 4757 673 10 1.51 3.54
Bihar 18853 1432 8.22 13019 69.06 5691 143 9 6.72 0.76
Assam 18667 859 4.82 12174 65.22 6439 51 6 13.33 0.27
Odisha 14280 543 3.95 9864 69.08 4320 96 5 5.49 0.67
Jammu and Kashmir 11173 346 3.20 6223 55.70 4755 195 8 4.28 1.75
Kerala 8931 608 7.31 4438 49.69 4454 35 1 2.94 0.39
Punjab 8511 333 4.07 5663 66.54 2635 213 9 4.41 2.50
Chhattisgarh 4379 114 2.67 3275 74.79 1084 20 1 5.26 0.46
Jharkhand 4225 262 6.61 2428 57.47 1761 36 3 9.09 0.85
Uttarakhand 3686 78 2.16 2867 77.78 736 50 1 2.04 1.36
Goa 2753 170 6.58 1607 58.37 1128 18 1 5.88 0.65
Tripura 2183 90 4.30 1538 70.45 629 2 0 0.00 0.09
State Unassigned 2179 -179 -7.59 0 0.00 2179 0 0 NaN 0.00
Manipur 1672 46 2.83 1020 61.00 652 0 0 NaN 0.00
Puducherry 1531 63 4.29 829 54.15 684 18 0 0.00 1.18
Himachal Pradesh 1309 66 5.31 938 71.66 348 10 0 0.00 0.76
Ladakh 1128 35 3.20 946 83.87 181 1 0 0.00 0.09
Nagaland 896 51 6.04 346 38.62 550 0 0 NaN 0.00
Chandigarh 600 12 2.04 446 74.33 144 10 2 25.00 1.67
Dadra and Nagar Haveli and Daman and Diu 541 16 3.05 342 63.22 191 1 0 0.00 0.18
Arunachal Pradesh 462 75 19.38 153 33.12 306 3 1 50.00 0.65
Meghalaya 318 2 0.63 46 14.47 270 2 0 0.00 0.63
Mizoram 238 5 2.15 159 66.81 79 0 0 NaN 0.00
Sikkim 211 45 27.11 86 40.76 112 0 0 NaN 0.00
Andaman and Nicobar Islands 171 5 3.01 129 75.44 42 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1149414 95143 94 0.10 8.28 168 30 8011 16757 17.61
Piemonte 450251 31504 6 0.02 7.00 180 9 1053 4112 13.05
Emilia-Romagna 549870 28958 18 0.06 5.27 93 9 1193 4269 14.74
Veneto 1069923 19401 6 0.03 1.81 22 3 412 2039 10.51
Toscana 372853 10326 4 0.04 2.77 7 3 335 1122 10.87
Liguria 163409 10032 1 0.01 6.14 24 0 218 1559 15.54
Lazio 370462 8338 24 0.29 2.25 191 11 892 845 10.13
Marche 149515 6804 0 0.00 4.55 4 0 159 987 14.51
P.A. Trento 134529 4881 0 0.00 3.63 2 0 26 405 8.30
Campania 303419 4779 7 0.15 1.58 16 0 253 432 9.04
Puglia 202256 4541 0 0.00 2.25 10 0 68 547 12.05
Friuli Venezia Giulia 212714 3335 0 0.00 1.57 3 0 80 345 10.34
Abruzzo 115176 3328 0 0.00 2.89 19 0 143 466 14.00
Sicilia 235954 3100 1 0.03 1.31 6 0 123 283 9.13
P.A. Bolzano 91340 2673 7 0.26 2.93 6 0 95 292 10.92
Umbria 106265 1450 0 0.00 1.36 4 0 8 80 5.52
Sardegna 93207 1373 1 0.07 1.47 3 0 10 134 9.76
Calabria 105315 1216 0 0.00 1.15 4 0 57 97 7.98
Valle d’Aosta 19599 1196 0 0.00 6.10 2 0 3 146 12.21
Molise 24710 446 0 0.00 1.80 1 0 13 23 5.16
Basilicata 42563 406 0 0.00 0.95 3 0 5 27 6.65

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56621 100 0.18 5628 1 0.02 9.94 6631.90 659.20 1 in 151
Ontario 38730 249 0.65 2767 3 0.11 7.14 2632.58 188.08 1 in 380
Alberta 8826 230 2.68 161 1 0.62 1.82 1999.93 36.48 1 in 500
British Columbia 3053 0 0.00 189 2 1.07 6.19 597.35 36.98 1 in 1674
Nova Scotia 1066 0 0.00 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 871 56 6.87 15 0 0.00 1.72 737.09 12.69 1 in 1357
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 166 0 0.00 2 0 0.00 1.20 212.82 2.56 1 in 4699
Prince Edward Island 35 1 2.94 0 0 NaN 0.00 221.30 0.00 1 in 4519
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1650 8 0.48
Hong Kong 1469 7 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 725 7 0.97
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 200 0 0.00
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 10281.65 414.32 1 in 97
Brazil 9006.05 347.98 1 in 111
India 677.19 17.72 1 in 1477
Russia 5069.53 79.04 1 in 197
Peru 10261.83 374.70 1 in 97
Chile 17598.73 389.14 1 in 57
Mexico 2356.31 274.70 1 in 424
United Kingdom 4390.29 676.02 1 in 228
South Africa 5073.98 73.55 1 in 197
Iran 3199.26 160.57 1 in 313
Spain 5485.49 608.79 1 in 182
Pakistan 1287.33 27.01 1 in 777
Italy 4021.66 578.16 1 in 249
Saudi Arabia 7137.55 68.09 1 in 140
Turkey 2648.20 66.60 1 in 378
France 3129.42 448.31 1 in 320
Germany 2417.92 109.60 1 in 414
Bangladesh NA NA 1 in NA
Colombia 3065.93 114.82 1 in 326
Canada 2925.88 235.06 1 in 342

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 219301 23323 10.64
Los Angeles California 136357 3824 2.80
Cook Illinois 95884 4729 4.93
Maricopa Arizona 81216 1140 1.40
Miami-Dade Florida 67713 1143 1.69
Harris Texas 47369 466 0.98
Nassau New York 42354 2190 5.17
Suffolk New York 42112 1993 4.73
Westchester New York 35327 1435 4.06
Dallas Texas 34914 457 1.31
Broward Florida 31484 464 1.47
Philadelphia Pennsylvania 27575 1640 5.95
Riverside California 25748 550 2.14
Orange California 25255 424 1.68
Middlesex Massachusetts 24536 1921 7.83
Wayne Michigan 24076 2761 11.47
Clark Nevada 23803 483 2.03
Palm Beach Florida 21806 611 2.80
Suffolk Massachusetts 20342 1020 5.01
Bexar Texas 20213 195 0.96
San Diego California 19929 422 2.12
Bergen New Jersey 19891 2030 10.21
Hillsborough Florida 19828 188 0.95
Prince George’s Maryland 19773 714 3.61
San Bernardino California 19502 307 1.57
Hudson New Jersey 19135 1484 7.76
Essex New Jersey 19039 2077 10.91
Orange Florida 18937 83 0.44
Tarrant Texas 18161 272 1.50
Passaic New Jersey 17080 1224 7.17
Middlesex New Jersey 17059 1377 8.07
Fairfield Connecticut 16954 1385 8.17
Union New Jersey 16519 1343 8.13
Essex Massachusetts 16485 1136 6.89
Montgomery Maryland 15780 760 4.82
Mecklenburg North Carolina 15319 163 1.06
Salt Lake Utah 14869 130 0.87
Travis Texas 14788 169 1.14
Fairfax Virginia 14556 500 3.44
Shelby Tennessee 14163 224 1.58
Milwaukee Wisconsin 14098 398 2.82
Davidson Tennessee 13976 146 1.04
Rockland New York 13719 670 4.88
Hennepin Minnesota 13697 791 5.77
Duval Florida 13370 84 0.63
Providence Rhode Island 13144 0 0.00
Oakland Michigan 12752 1109 8.70
Worcester Massachusetts 12679 959 7.56
New Haven Connecticut 12612 1087 8.62
Franklin Ohio 12301 449 3.65
Marion Indiana 12111 693 5.72
King Washington 12077 624 5.17
Hartford Connecticut 11949 1391 11.64
Pima Arizona 11856 327 2.76
Gwinnett Georgia 11691 185 1.58
Pinellas Florida 11442 236 2.06
Jefferson Louisiana 11256 495 4.40
Fulton Georgia 11080 326 2.94
District of Columbia District of Columbia 10906 568 5.21
Orange New York 10841 484 4.46
Lake Illinois 10422 428 4.11
Lee Florida 10344 188 1.82
Puerto Rico 10010 167 1.67
Ocean New Jersey 9828 997 10.14
DuPage Illinois 9794 487 4.97
El Paso Texas 9716 152 1.56
Monmouth New Jersey 9515 838 8.81
Norfolk Massachusetts 9485 958 10.10
Cuyahoga Ohio 9359 399 4.26
Baltimore Maryland 8892 496 5.58
Montgomery Pennsylvania 8876 829 9.34
Plymouth Massachusetts 8822 679 7.70
Orleans Louisiana 8745 540 6.17
Out of GA Georgia 8632 54 0.63
DeKalb Georgia 8618 182 2.11
Baltimore City Maryland 8566 366 4.27
Bristol Massachusetts 8491 601 7.08
Yuma Arizona 8384 154 1.84
Yakima Washington 8325 180 2.16
Fresno California 8282 88 1.06
Kane Illinois 8137 281 3.45
Douglas Nebraska 8113 100 1.23
Hidalgo Texas 8040 150 1.87
Imperial California 7977 136 1.70
Alameda California 7976 148 1.86
Denver Colorado 7952 394 4.95
St. Louis Missouri 7897 603 7.64
Macomb Michigan 7877 928 11.78
Prince William Virginia 7847 157 2.00
Charleston South Carolina 7835 61 0.78
Mercer New Jersey 7795 602 7.72
Erie New York 7766 646 8.32
Camden New Jersey 7716 551 7.14
Wake North Carolina 7668 71 0.93
Polk Florida 7630 141 1.85
Polk Iowa 7611 185 2.43
Delaware Pennsylvania 7569 668 8.83
Will Illinois 7340 326 4.44
East Baton Rouge Louisiana 7300 279 3.82
Greenville South Carolina 7261 106 1.46

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc